Multi-Resolution Convolutional Dictionary Learning for Riverbed Dynamics Modeling-Reference-Cited by-同舟云学术

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Multi-Resolution Convolutional Dictionary Learning for Riverbed Dynamics Modeling

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Kobayashi E.¹,Yasuda H.²,Hayasaka K.³,Otake Y.⁴,Ono S.⁵,Muramatsu S.⁶

Affiliation:

1. Niigata Univ,Graduate School of Sci. & Tech,Japan

2. Niigata Univ,Research Inst. for Natural Hazards & Disaster Recovery,Japan

3. Niigata Univ,Faculty of Sci,Japan

4. Tohoku Univ,Dept. of Civil and Environmental Eng,Japan

5. Tokyo Institute of Tech,Dept. of Computer Science,Japan

6. Niigata Univ,Faculty of Eng,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096452.pdf?arnumber=10096452

Reference19 articles.

1. Introduction to Electrodynamics

2. Capture method for digital twin of formation processes of sand bars

3. Primal-Dual Plug-and-Play Image Restoration

4. A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

5. Practical dynamic reliability analysis with spatiotemporal features in geotechnical engineering

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